Introduction to Resting State fMRI Functional Connectivity

by Janine Bijsterbosch, Stephen M. Smith, Christian F. Beckmann

Overview

Spontaneous 'resting-state' fluctuations in neuronal activity offer insights into the inherent organisation of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsic functional connectivity networks, which are identified based on similarities in the signal measured from different regions. From data acquisition to results interpretation, An Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without expecting previous knowledge of the reader, making it truly accessible to readers from a broad range of backgrounds. Supplemented with online examples to enable the reader to obtain hands-on experience working with data, the text also provides details to enhance learning for those already experienced in the field. The Oxford Neuroimaging Primers are written for new researchers or advanced undergraduates in neuroimaging to provide a thorough understanding of the ways in which neuroimaging data can be analysed and interpreted. Aimed at students without a background in mathematics or physics, this book is also important reading for those familiar with task fMRI but new to the field of resting state fMRI.

Product Details

ISBN-13:	9780192535757
Publisher:	OUP Oxford
Publication date:	06/15/2017
Series:	Oxford Neuroimaging Primers
Sold by:	Barnes & Noble
Format:	eBook
Pages:	200
File size:	6 MB

About the Author

Dr Janine D. Bijsterbosch is currently a postdoctoral researcher in the Analysis Group in the FMRIB Centre, University of Oxford, specialising in resting-state analysis. She has worked in brain imaging since 2007, with a background in psychology and experience working in psychology, psychiatry and neuroscience. Janine has considerable teaching experience, being the course organiser, lecturer and senior tutor on both the FMRIB Graduate Programme and the FSL Course. Professor Stephen M. Smith is a Professor of Biomedical Engineering in the FMRIB Centre, University of Oxford and founded the Analysis Group there in 1997. He is the co-founder of FSL (FMRIB Software Library, www.fmrib.ox.ac.uk/fsl) and has written many tools for analysis of structural, diffusion and functional data, with a recent emphasis on resting-state imaging. In 2007 Stephen received the Wiley Young Investigator Award from the Organisation for Human Brain Mapping. Professor Christian F. Beckmann is a Professor of Statistics in Imaging Neuroscience at the Radboud University Medical Centre Nijmegen and leads the Statistical Imaging Neurosciences group at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen. His research focuses on Independent Component Analysis in fMRI, utilising information theoretic principles for the development of imaging biomarkers, advanced diagnosis systems and understanding of the human brain. Christian has taught on the FSL Course since its inception in 2002 and in 2011 he received the Wiley Young Investigator Award from the Organisation for Human Brain Mapping.

Table of Contents

1. Introduction
2. Data Acquisition
3. Data Preprocessing
4. Voxel-based Connectivity Analyses
5. Node-based Connectivity Analyses
6. Interpretation